Manual data copying
- Problem
- People copy data from emails, PDFs, spreadsheets, or panels.
- IT/AI help
- Data extraction, validation, exception handling panel.
- Result
- Less manual work and fewer mistakes.
I help find the places where a company wastes time on work that can be handled by software, integration, or well-used AI.
This is not about building a huge platform by default. Often, the biggest value comes from a small tool that cleans up one specific process: documents, reports, emails, statuses, decisions, or information flow between people.
Examples
Where this usually shows up
Reports assembled from multiple sources
- Problem
- Reporting requires manually collecting data from several places.
- IT/AI help
- Source integration, automated report generation, data quality checks.
- Result
- Faster reporting and less dependency on one person.
A process based on emails and Excel
- Problem
- Statuses, decisions, and ownership are scattered.
- IT/AI help
- Simple workflow, case panel, automated reminders.
- Result
- Better control over the process.
The company wants to use AI but does not know where
- Problem
- There is pressure to “use AI”, but no concrete use case.
- IT/AI help
- Process analysis and identification of sensible AI opportunities.
- Result
- Less hype, more real decisions.
Applications
Concrete areas worth checking first
Sales and marketing operations
Lead intake, campaign follow-up, simple personalization, CRM updates, and handoffs that should not depend on manual copying.
Finance and administration
Invoices, payments, recurring reports, document checks, and back-office steps where mistakes are expensive or annoying.
Customer support
Ticket triage, first replies, answer suggestions, status updates, and routing cases to the right person with context already prepared.
HR and recruitment
Candidate screening support, onboarding checklists, employee documents, and repeatable communication around hiring or internal processes.
Operations and logistics
Stock levels, shipment statuses, order processing, warehouse exceptions, and operational alerts that need clean ownership.
Analytics and BI
Dashboards, KPI snapshots, data quality checks, and business updates that should be generated from source systems instead of assembled by hand.
Documents and knowledge
Contract drafts, classification, document flow, policy updates, and knowledge assistants that help people find reliable answers faster.
AI assistants for internal work
Small assistants that prepare summaries, collect context, draft routine content, or help employees complete multi-step tasks inside existing tools.
If any of these examples sound familiar, let’s have a no-pressure conversation.
Tell me what the situation looks like on your side. I’ll tell you honestly whether I see a sensible direction and where I would start.